code: def testIntTypes(self):
      for t in [np.int32, np.int64]:
          self._testAll(
              np.random.randint(-100, 100, (5)).astype(t), 3, 0
          )
          if NP_ROLL_CAN_MULTISHIFT:
              self._testAll(
                  np.random.randint(-100, 100, (4, 4, 3)).astype(t),
                  [1, -2, 3],
                  [0, 1, 2],
              )
              self._testAll(
                  np.random.randint(-100, 100, (4, 2, 1, 3)).astype(t),
                  [0, 1, -2],
                  [1, 2, 3],
              )
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import manip_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the RollTest obj's underlying member method code with example usage: obj.testIntTypes() without return types